How to Use the CDC WONDER (Epidemiologic Data) MCP in LlamaIndex

Q: How do I connect CDC WONDER (Epidemiologic Data) to LlamaIndex?

Install llama-index-tools-mcp. Set up a BasicMCPClient with the Vinkius URL, then wrap it in an McpToolSpec.

Index CDC WONDER (Epidemiologic Data) outputs into LlamaIndex to build searchable public health knowledge bases.

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Connect CDC WONDER (Epidemiologic Data) MCP to LlamaIndex

Create your Vinkius account to connect CDC WONDER (Epidemiologic Data) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CDC WONDER (Epidemiologic Data) with LlamaIndex

Ask AI about this MCP

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Claude

Perplexity

Build LlamaIndex RAG pipelines

Raw API responses from government databases are hard to search. You want to query mortality trends across multiple years without writing a new JSON payload every single time. LlamaIndex takes the output from `query_wonder_database` and vectorizes it. Your RAG application can now run semantic searches across historical vaccine adverse event logs instead of executing cold API hits.

Ground answers in actual public health data

Hallucinations in medical or epidemiologic reporting destroy trust instantly. When a user asks about birth rates in a specific state, the answer has to match the official records exactly. By routing queries through this MCP Server, your `FunctionAgent` pulls live numbers directly from the source. The agent reads the specific database ID, grabs the exact figures, and cites the raw CDC WONDER response.

Combine API hits with local medical documents

Researchers rarely rely on just one data source. They compare clinical trial PDFs against real-world vaccine adverse event statistics. You can blend these sources by passing `include_resources=True` to your `McpToolSpec`. The agent fetches the statistical tables from the CDC, retrieves your embedded local documents, and synthesizes a unified answer.

Setup guide

Set up CDC WONDER (Epidemiologic Data) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all CDC WONDER (Epidemiologic Data) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to CDC WONDER (Epidemiologic Data) tools.",
)
response = await agent.run("List recent CDC WONDER (Epidemiologic Data) data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CDC WONDER. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about CDC WONDER (Epidemiologic Data) MCP in LlamaIndex

Install `llama-index-tools-mcp`. Set up a `BasicMCPClient` with the Vinkius URL, then wrap it in an `McpToolSpec`.

Yes. The framework turns the raw JSON mortality or birth statistics into queryable nodes within your vector store.

The tool schema provides the exact parameters. Your agent reads the prompt and selects the correct ID, like D76 for mortality records.

Load your PDFs into a standard vector index, then provide the `McpToolSpec` to your agent. It will query both the document store and the live API.

Vinkius executes the MCP Server inside a zero-trust sandbox. The specific vaccine adverse event parameters you query are ephemeral and never logged permanently.

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